Day-ahead forecasting of residential electric power consumption for energy management using Long Short-Term Memory encoder–decoder model
Author:
Funder
Ministero dell’Istruzione, dell’Università e della Ricerca
Publisher
Elsevier BV
Subject
Applied Mathematics,Modeling and Simulation,Numerical Analysis,General Computer Science,Theoretical Computer Science
Reference38 articles.
1. TensorFlow: large-scale machine learning on heterogeneous systems;Abadi,2015
2. Hybrid CNN-LSTM model for short-term individual household load forecasting;Alhussein;IEEE Access,2020
3. K. Amarasinghe, D.L. Marino, M. Manic, Deep neural networks for energy load forecasting, in: 2017 IEEE 26th International Symposium on Industrial Electronics (ISIE), 2017, pp. 1483–1488, http://dx.doi.org/10.1109/ISIE.2017.8001465.
4. Keras;Chollet,2015
5. G. Di Lorenzo, L. Martirano, R. Araneo, G. Petrone, Modeling and Design of a Residential Energy Community with PV Sharing, in: Proceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC/ I and CPS Europe 2020, 2020, http://dx.doi.org/10.1109/EEEIC/ICPSEurope49358.2020.9160650.
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